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"The book you are about to read will arm you with the knowledge you need to defend your network from attackers—both the obvious and the not so obvious.... If you are new to network security, don't put this book back on the shelf! This is a great book for beginners and I wish I had access to it many years ago. If you've learned the basics of TCP/IP protocols and run an open source or commercial IDS, you may be asking 'What's next?' If so, this book is for you." —Ron Gula, founder and CTO, Tenable Network Security, from the Foreword "Richard Bejtlich has a good perspective on Internet security—one that is orderly and practical at the same time. He keeps readers grounded and addresses the...
The first Workshop on Intrusion Detection and Prevention took place in November 2000, under the auspices of the 7th ACM Conference on Computer Security. The selected papers here reflect the contrast of the old and new regarding the development in the field of IDS. For instance, papers involving profiling, a tried-and-true strategy for identifying potential mistreatments, are included, as well as a discussion of the business model of security.
Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.
This book constitutes the refereed proceedings of the 7th International Workshop on Information Security Applications, WISA 2006, held in Jeju Island, Korea in August 2006. Coverage in the 30 revised full papers includes public key crypto applications and virus protection, cyber indication and intrusion detection, biometrics and security trust management, secure software and systems, smart cards and secure hardware, and mobile security.
The Sixth SIAM International Conference on Data Mining continues the tradition of presenting approaches, tools, and systems for data mining in fields such as science, engineering, industrial processes, healthcare, and medicine. The datasets in these fields are large, complex, and often noisy. Extracting knowledge requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms, based on sound statistical foundations. These techniques in turn require powerful visualization technologies; implementations that must be carefully tuned for performance; software systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them.